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or mentoring others in automation and AI workflow development. Experience with large language models (LLMs), intelligent agents, and responsible AI frameworks. Strong consultative and evangelism skills with
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, etc.), and data-driven methods (optimisation, generative AI, agent-based modelling, machine learning). Our work provides decision support for policy makers, industry stakeholders, and researchers by
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code comments and appropriate documentation to various knowledge-based system(s) to simplify code maintenance and to improve the support. Testing & Documentation Create and document test scenarios using
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University provides an annual base salary range for this position as USD $18.00 to USD $26.49. Duke University considers factors such as (but not limited to) scope and responsibilities of the position
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position within a Research Infrastructure? No Offer Description Laboratory of Molecular and Cellular Neurobiology https://shorturl.at/mLd8y at the International Institute for Molecular and Cell Biology
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/przydatne-dokumenty/ Other working conditions Workplace: Interdisciplinary Centre for Mathematical and Computational Modelling Career opportunities: more information: https://rekrutacja-i-rozwoj.bsp.uw.edu.pl
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reinforcement learning for large language models (LLMs). Research directions include developing next-generation post-training algorithms, exploring diffusion-based approaches to reasoning with language models
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. • Share concerns appropriately by avoiding direct confrontation in staff meetings: supporting in public, confronting in private. • Participate in RA selection and evaluation processes. • Role model
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data-driven methods (optimisation, generative AI, agent-based modelling, machine learning). Our work provides decision support for policy makers, industry stakeholders, and researchers by delivering
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: The selected candidate will work within the scope of Activity 1 of the project, specifically on the personalization of AI assistants based on small generative language models (SLM) and on mechanisms